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Is Jumokucho 3-chōme (Toyota-shi) safe? Crime data, rent & livability

Overall score
52

How safe is Jumokucho 3-chōme? No crimes were reported in the most recent police data. With so few incidents, the score is statistically smoothed toward the average, giving a safety score of 60/100.

Jumokucho 3-chōme is a neighborhood in Toyota-shi, Japan, with 9 everyday amenities within walking distance. Nearest station: Shin-Uwagoromo (12 min walk). Rent for one or two people runs ¥42K–¥78K.

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savings

Rent

¥42K–¥78K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥50K–¥133K

train

Getting around

12 min walk
Shin-Uwagoromo Sta. · Aichi Loop Line

Add your commute destination to see the commute score for this area

people

Total population

54
Foreign residents 0 (0.0%)
Resident age groupsAvg. age 44.3
19%
12%
13%
15%
13%
11%
18%
~1940s70+

Census 2020 · age groups are for Toyota-shi

terrain

Terrain (slopes & elevation)

50m
Gentle slopes
FlatSteep

Gentle slopes, about 8 m of relief. The walk takes a little longer than the same distance on flat ground.

storefront

Local amenities

9pts
Greater Nagoya · 9 pts
🌳
Park1
Café1
🍴
Dining2

Within walking distance

child_care

Childcare

48pts
Greater Nagoya · 48 pts
🧒Nurseries2
🏫Schools2
🌳Park1

For families: 2 schools nearby.

volume_off

Quiet

91pts
Greater Nagoya · 91 pts
Road noiseNone
Railway noiseTracks nearby
Night noiseNone

No major road or railway runs nearby, so it stays quiet.

shield

Safety (crime data)

60pts
Greater Nagoya · 60 pts · 0.00 per 100 people/yr · 愛知県警察
CautionArea avgSafe

Annual total 0

infoViolent crime isn't disclosed at the neighborhood level, so it isn't reflected in this score.

The local force publishes only a total for this block, without a breakdown by offence type. Annual counts per neighborhood from Metropolitan and prefectural police open data. Counts run higher where daytime foot traffic is heavy, so for a per-resident view see sonar's safety score (population-normalized). See the Aichi safety ranking →

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Other areas in Toyota-shi

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Scored from police, municipal and OpenStreetMap open data, using the same formula for every neighborhood.

Sources: OpenStreetMap, National Police Agency open data, MLIT hazard maps, and the Real Estate Information Library, aggregated per neighborhood. May differ from current conditions.